Horizontal grouped bars in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib library with the common alias.

Matplotlib

import [1] as plt

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Amatplotlib

Bmatplotlib.pyplot

Cpyplot

Dmpl

Attempts:

3 left

💡 Hint

Common Mistakes

Importing 'matplotlib' directly without '.pyplot' will not allow plotting.

Using an uncommon alias like 'mpl' instead of 'plt'.

We import the pyplot module from matplotlib as plt to create plots.

2fill in blank

medium

Complete the code to create a horizontal bar chart using plt.barh.

Matplotlib

plt.[1](categories, values)

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Abarh

Bplot

Cbar

Dhist

Attempts:

3 left

💡 Hint

Common Mistakes

Using plt.bar() creates vertical bars, not horizontal.

Using plt.plot() or plt.hist() will not create bar charts.

The function barh creates horizontal bar charts.

3fill in blank

hard

Fix the error in the code to correctly position grouped bars horizontally.

Matplotlib

plt.barh(y_pos + [1], values2, height=bar_width, label='Group 2')

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Abar_width * 2

Bbar_width / 2

C0

Dbar_width

Attempts:

3 left

💡 Hint

Common Mistakes

Using 0 shifts bars on top of the first group.

Using half or double bar width causes incorrect spacing.

Adding bar_width shifts the second group bars to the right for grouping.

4fill in blank

hard

Fill both blanks to create y positions and set bar width for grouped horizontal bars.

Matplotlib

y_pos = np.arange(len(categories))
bar_width = [1]
plt.barh(y_pos, values1, height=[2], label='Group 1')

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A0.35

B0.5

C0.25

D1

Attempts:

3 left

💡 Hint

Common Mistakes

Using height larger than bar width causes bars to overlap.

Using 1 makes bars too thick and overlapping.

Setting bar_width and height to 0.35 controls bar thickness and spacing.

5fill in blank

hard

Fill all three blanks to complete the code for horizontal grouped bars with labels and legend.

Matplotlib

plt.barh([1], values1, height=bar_width, label='Group 1')
plt.barh([2] + [3], values2, height=bar_width, label='Group 2')
plt.yticks(y_pos + bar_width / 2, categories)
plt.legend()
plt.show()

Drag options to blanks, or click blank then click option'

Ay_pos

Cbar_width

Dvalues1

Attempts:

3 left

💡 Hint

Common Mistakes

Not shifting the second group causes bars to overlap.

Using values instead of y positions for bar placement.

The first bar group is at y_pos, the second is shifted by bar_width for grouping.